Sr. Analyst, Global Operational Excellence
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costruire pipeline etl/elt scalabili per dataset multi‑tb, con controlli di qualità, monitoraggio e alert.
architettare soluzioni di analytics in tempo reale per monitorare flussi inbound, accuratezza consegne, congestioni dock e interruzioni di rete.
definire metriche operative, kpi e dashboard automatizzate (quicksight, tableau) per reporting wbr/mbr.
sviluppare tool basati su genai per automatizzare narrazioni, analisi delle cause radice e alert intelligenti.
condurre deep‑dive su dataset complessi, identificare problemi su prodotti, magazzini o rotte e quantificare l’impatto con metodi statistici.
collaborare con stakeholder di engineering, science, transportation, planning, finance e operations per allineare definizioni e framework analitici.
Requisiti requisitilaurea in disciplina quantitativa (statistica, matematica, data science, informatica, ingegneria, economia, operations research).
esperienza in analytics, data engineering o business intelligence su larga scala, con progettazione di data warehouse, data modeling e pipeline etl/elt.
competenze avanzate in sql e programmazione python (o equivalente) per manipolazione di dataset multi‑tb.
conoscenza di streaming real‑time (kinesis, kafka, flink) e batch processing (emr, hive).
esperienza con strumenti di visualizzazione (quicksight, tableau) e con servizi aws (s3, redshift, athena, lambda, glue, step functions, sagemaker, dynamodb).
capacità di tradurre problemi operativi in soluzioni analitiche e comunicare risultati a senior leadership.
preferibile esperienza con integrazione genai/llm, prompt engineering e workflow agentici.
Offerta cosa offriamoretribuzione annua lorda di 71200eur (sede milano) più benefit quali stock unit, pagamento di firma e benefit statutari.
possibilità di lavorare in qualsiasi sede eu di amazon, con supporto a esigenze di mobilità.
ambiente dinamico in un team globale di operational excellence focalizzato su innovazione e ottimizzazione della supply chain.
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